LiDAR-based detection, tracking, and property estimation: A contemporary review

Hasan, Mahmudul; Hanawa, Junichi; Goto, Riku; Suzuki, Ritsuro; Fukuda, Hisato; Kuno, Yoshinori; Kobayashi, Yoshinori

doi:10.1016/j.neucom.2022.07.087

Cited by 20 publications

(4 citation statements)

References 177 publications

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“…In addition, 3D lidar measurements enable data and video analytics to robustly estimate trajectories, volumes and other spatial properties that 2D imaging sensors cannot. 26 They also enable active remote sensing from airborne and terrestrial systems so they can be used in a wide range of applications to robustly detect and track in space. Hence, such tasks are enhanced thanks to multimodal imaging and the use of AI to analyse the complementary heterogeneous data.…”

Section: Enhanced Ai Perception For Security Applicationsmentioning

confidence: 99%

Multimodal imaging sensor based on lidar for advanced perception tasks

García-Gómez¹,

Bernal²,

Rodríguez-Aramendía³

et al. 2023

Multimodal Sensing and Artificial Intelligence: Technologies and Applications III

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Automated systems increase their requirements in all fields, tightening their performance requirements in aspects like reliability, and ease of manipulation. Within this communication, we will present the development of a compact perception unit which includes a 3D lidar, RGB and thermal imaging for advanced perception purposes. The proposed unit intends to solve the usual hardware problems that software developers intend to solve in field applications. The basic features and performance of the system will be presented, and the applicability of the multimodal sensing approach presented to different applications in security, autonomous vehicles, and other application areas will be overviewed with examples.

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Section: Enhanced Ai Perception For Security Applicationsmentioning

confidence: 99%

Multimodal imaging sensor based on lidar for advanced perception tasks

García-Gómez¹,

Bernal²,

Rodríguez-Aramendía³

et al. 2023

Multimodal Sensing and Artificial Intelligence: Technologies and Applications III

View full text Add to dashboard Cite

show abstract

“…Compared to 3D stereo cameras, 3D LiDAR offers advantages such as high measurement accuracy, long detection range, minimal sensitivity to lighting conditions, and resistance to electromagnetic interference. Consequently, it is commonly used in tasks such as localization and mapping [2,3], object detection [4,5], pedestrian detection and tracking [6,7], and scene segmentation [8].…”

Section: Introductionmentioning

confidence: 99%

A Staged Real-Time Ground Segmentation Algorithm of 3D LiDAR Point Cloud

Deng,

Chen,

Jiang

2024

Electronics

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Ground segmentation is a crucial task in the field of 3D LiDAR perception for autonomous driving. It is commonly used as a preprocessing step for tasks such as object detection and road extraction. However, the existing ground segmentation algorithms often struggle to meet the requirements of robustness and real-time performance due to significant variations in ground slopes and flatness across different scenes, as well as the influence of objects such as grass, flowerbeds, and trees in the environment. To address these challenges, this paper proposes a staged real-time ground segmentation algorithm. The proposed algorithm not only achieves high real-time performance but also exhibits improved robustness. Based on a concentric zone model, the algorithm filters out reflected noise points and vertical non-ground points in the first stage, improving the validity of the fitted ground plane. In the second stage, the algorithm effectively addresses the issue of undersegmentation of ground points through three steps: ground plane fitting, ground plane validity judgment, and ground plane repair. The experimental results on the SemanticKITTI dataset demonstrate that the proposed algorithm outperforms the existing methods in terms of segmentation results.

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“…PIR is an electromagnetic radiation that has wavelengths longer than visible light and shorter than radio waves [12] [13]. It is invisible to human eyes but we can feel it as heat.…”

Section: Introductionmentioning

confidence: 99%

Motion Detection System Using Passive Infrared Technology

Amuta,

Sobola,

Eseabasi

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Having technology around us that can be used for household and entertainment purposes to signal any potential threat in our surroundings and trigger alerts is vital. The study designed a technology that is aimed at providing security to the environment and properties since it can detect movement at a certain angle and also give an alert. The system used a Passive infrared radiation (PIR) module HC-SR501 to detect motion and an Arduino uno microcontroller unit (MCU) to process and control the sensor data. The PIR sensors detect infrared radiation emitted by moving objects, such as human beings or animals. Several tests showed that the system performed well under different conditions, with the PIR sensor able to detect motion at different sensitivities distances, and angles. The designed prototype system reveals that our environment, properties, and even human lives can be secured, hence the technology can be deployed as a surveillance. However, the limitation could be power outages from public utilities, in terms of functionality.

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LiDAR-based detection, tracking, and property estimation: A contemporary review

Cited by 20 publications

References 177 publications

Multimodal imaging sensor based on lidar for advanced perception tasks

Multimodal imaging sensor based on lidar for advanced perception tasks

A Staged Real-Time Ground Segmentation Algorithm of 3D LiDAR Point Cloud

Motion Detection System Using Passive Infrared Technology

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